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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Can LLMs Lie? Investigation beyond Hallucination · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2509.03518/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2509.03518/feed.xml" rel="self" type="application/rss+xml" /><item><title>Can LLMs Lie? Investigation beyond Hallucination — mentioned by ben_w</title><link>https://news.ycombinator.com/item?id=49407784</link><guid isPermaLink="false">urn:hackerpapers:mention:2509.03518:49407784</guid><pubDate>Sun, 23 Aug 2026 10:54:21 GMT</pubDate><description>&lt;p&gt;Squirrels have been observed performing deception against other squirrels. Dis/honesty certainly requires some intelligence to pass, but it is a low bar, and one which research has shown that LLMs can perform, e.g. this paper linked from another comment in this discussion: https://arxiv.org/pdf/2509.03518&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2509.03518/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Can LLMs Lie? Investigation beyond Hallucination — mentioned by infinite_spin</title><link>https://news.ycombinator.com/item?id=49407342</link><guid isPermaLink="false">urn:hackerpapers:mention:2509.03518:49407342</guid><pubDate>Sun, 23 Aug 2026 09:33:01 GMT</pubDate><description>&lt;p&gt;You might want to consider the difference between &amp;quot;lying&amp;quot; and &amp;quot;hallucinations&amp;quot;, wherein one is shown that the agent knew it was being inaccurate, yet chose an answer that achieved some goal set forth; and where hallucinations are essentially gibberish, or otherwise nonsensical responses. https://arxiv.org/pdf/2509.03518&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2509.03518/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Can LLMs Lie? Investigation beyond Hallucination — mentioned by wyrdcurt</title><link>https://news.ycombinator.com/item?id=48994447</link><guid isPermaLink="false">urn:hackerpapers:mention:2509.03518:48994447</guid><pubDate>Tue, 21 Jul 2026 16:22:40 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m talking about using mechanistic interpretability to see the model&amp;#x27;s intent. If it is deliberately using compromised libraries to weaken some code&amp;#x27;s security, there&amp;#x27;s going to be a signal in its hidden activations that it&amp;#x27;s doing so. Finding these kinds of activations is something Anthropic is actively researching [1] but they&amp;#x27;re the only ones who can use those techniques to see Claude&amp;#x27;s intent. On the other hand, if a model is open-weights, in theory whoever is running the model could look inside the activations at runtime to see if a hidden vector associated with &amp;quot;deception&amp;quot; or…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2509.03518/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
